Overview

Dataset statistics

Number of variables20
Number of observations349
Missing cells0
Missing cells (%)0.0%
Duplicate rows82
Duplicate rows (%)23.5%
Total size in memory54.7 KiB
Average record size in memory160.4 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:55:28.594739
Analysis finished2020-08-25 01:56:19.976089
Duration51.38 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 82 (23.5%) duplicate rows Duplicates

Variables

F19S
Real number (ℝ≥0)

Distinct count40
Unique (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.34097421203438
Minimum18.0
Maximum79.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:20.021213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile49
Q160
median66
Q371
95-th percentile75
Maximum79
Range61
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.281117908
Coefficient of variation (CV)0.144248949
Kurtosis5.544033008
Mean64.34097421
Median Absolute Deviation (MAD)5
Skewness-1.835614613
Sum22455
Variance86.13914962
2020-08-25T01:56:20.132966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
69257.2%
 
71246.9%
 
70226.3%
 
63216.0%
 
73164.6%
 
67164.6%
 
72164.6%
 
68164.6%
 
64154.3%
 
62154.3%
 
74144.0%
 
60133.7%
 
66133.7%
 
56123.4%
 
57123.4%
 
58123.4%
 
65123.4%
 
6192.6%
 
5382.3%
 
7782.3%
 
5972.0%
 
7661.7%
 
7551.4%
 
2341.1%
 
5441.1%
 
Other values (15)246.9%
 
ValueCountFrequency (%) 
1810.3%
 
2341.1%
 
3010.3%
 
3610.3%
 
3810.3%
 
3920.6%
 
4520.6%
 
4610.3%
 
4710.3%
 
4830.9%
 
ValueCountFrequency (%) 
7910.3%
 
7810.3%
 
7782.3%
 
7661.7%
 
7551.4%
 
74144.0%
 
73164.6%
 
72164.6%
 
71246.9%
 
70226.3%
 

F13R
Real number (ℝ≥0)

Distinct count56
Unique (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.61031518624642
Minimum12.0
Maximum79.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:20.246530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile31.4
Q154
median62
Q367
95-th percentile74.6
Maximum79
Range67
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.80703413
Coefficient of variation (CV)0.2185116065
Kurtosis1.631223484
Mean58.61031519
Median Absolute Deviation (MAD)6
Skewness-1.301678904
Sum20455
Variance164.0201232
2020-08-25T01:56:20.356360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
66236.6%
 
65185.2%
 
63174.9%
 
62174.9%
 
69174.9%
 
67164.6%
 
56164.6%
 
64154.3%
 
60144.0%
 
54113.2%
 
61113.2%
 
57102.9%
 
5992.6%
 
5392.6%
 
7592.6%
 
5892.6%
 
7482.3%
 
7282.3%
 
4882.3%
 
6872.0%
 
7172.0%
 
4961.7%
 
7661.7%
 
7061.7%
 
5151.4%
 
Other values (31)6719.2%
 
ValueCountFrequency (%) 
1210.3%
 
1720.6%
 
1810.3%
 
1920.6%
 
2010.3%
 
2351.4%
 
2410.3%
 
2710.3%
 
2910.3%
 
3020.6%
 
ValueCountFrequency (%) 
7910.3%
 
7720.6%
 
7661.7%
 
7592.6%
 
7482.3%
 
7341.1%
 
7282.3%
 
7172.0%
 
7061.7%
 
69174.9%
 

F13S
Real number (ℝ≥0)

Distinct count60
Unique (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.90830945558739
Minimum6.0
Maximum80.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:20.472263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile30
Q149
median60
Q366
95-th percentile75
Maximum80
Range74
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.90082544
Coefficient of variation (CV)0.24426706
Kurtosis1.041783827
Mean56.90830946
Median Absolute Deviation (MAD)8
Skewness-1.092533813
Sum19861
Variance193.232948
2020-08-25T01:56:20.576085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
64216.0%
 
63205.7%
 
60164.6%
 
59164.6%
 
65144.0%
 
57133.7%
 
69123.4%
 
44123.4%
 
71123.4%
 
68102.9%
 
67102.9%
 
70102.9%
 
55102.9%
 
66102.9%
 
61102.9%
 
62102.9%
 
3882.3%
 
4782.3%
 
5682.3%
 
3772.0%
 
7572.0%
 
5872.0%
 
4861.7%
 
7261.7%
 
5451.4%
 
Other values (35)8123.2%
 
ValueCountFrequency (%) 
610.3%
 
1441.1%
 
1610.3%
 
1710.3%
 
1930.9%
 
2010.3%
 
2320.6%
 
2620.6%
 
2810.3%
 
2910.3%
 
ValueCountFrequency (%) 
8010.3%
 
7920.6%
 
7820.6%
 
7730.9%
 
7651.4%
 
7572.0%
 
7410.3%
 
7341.1%
 
7261.7%
 
71123.4%
 

F19R
Real number (ℝ≥0)

Distinct count37
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.2865329512894
Minimum33.0
Maximum80.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:20.691869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile51
Q162
median66
Q371
95-th percentile75
Maximum80
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.839508456
Coefficient of variation (CV)0.1200784925
Kurtosis2.635290399
Mean65.28653295
Median Absolute Deviation (MAD)4
Skewness-1.284713563
Sum22785
Variance61.45789283
2020-08-25T01:56:20.790374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
70298.3%
 
66288.0%
 
62205.7%
 
73205.7%
 
64205.7%
 
72195.4%
 
69185.2%
 
65185.2%
 
63164.6%
 
67154.3%
 
71154.3%
 
68144.0%
 
59133.7%
 
74113.2%
 
58113.2%
 
6092.6%
 
7792.6%
 
7582.3%
 
5772.0%
 
7672.0%
 
6151.4%
 
5151.4%
 
5041.1%
 
5341.1%
 
3330.9%
 
Other values (12)216.0%
 
ValueCountFrequency (%) 
3330.9%
 
3610.3%
 
4020.6%
 
4110.3%
 
4310.3%
 
4410.3%
 
4720.6%
 
4920.6%
 
5041.1%
 
5151.4%
 
ValueCountFrequency (%) 
8010.3%
 
7792.6%
 
7672.0%
 
7582.3%
 
74113.2%
 
73205.7%
 
72195.4%
 
71154.3%
 
70298.3%
 
69185.2%
 

F18R
Real number (ℝ≥0)

Distinct count36
Unique (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.17478510028653
Minimum18.0
Maximum76.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:20.895702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile50
Q162
median66
Q368
95-th percentile72
Maximum76
Range58
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.49834045
Coefficient of variation (CV)0.1168424707
Kurtosis8.285704327
Mean64.1747851
Median Absolute Deviation (MAD)3
Skewness-2.402565767
Sum22397
Variance56.22510951
2020-08-25T01:56:21.196346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
665014.3%
 
67308.6%
 
64267.4%
 
68257.2%
 
65246.9%
 
69246.9%
 
71226.3%
 
63205.7%
 
62185.2%
 
72154.3%
 
60154.3%
 
70113.2%
 
59102.9%
 
7382.3%
 
6182.3%
 
5361.7%
 
4041.1%
 
5041.1%
 
5741.1%
 
5541.1%
 
3130.9%
 
4120.6%
 
5620.6%
 
7620.6%
 
4310.3%
 
Other values (11)113.2%
 
ValueCountFrequency (%) 
1810.3%
 
3130.9%
 
3410.3%
 
4041.1%
 
4120.6%
 
4210.3%
 
4310.3%
 
4610.3%
 
4810.3%
 
4910.3%
 
ValueCountFrequency (%) 
7620.6%
 
7510.3%
 
7410.3%
 
7382.3%
 
72154.3%
 
71226.3%
 
70113.2%
 
69246.9%
 
68257.2%
 
67308.6%
 

F21R
Real number (ℝ≥0)

Distinct count56
Unique (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.40687679083094
Minimum5.0
Maximum82.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:21.308977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile34
Q160
median67
Q373
95-th percentile77
Maximum82
Range77
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.729135
Coefficient of variation (CV)0.216524385
Kurtosis2.828124505
Mean63.40687679
Median Absolute Deviation (MAD)6
Skewness-1.70502214
Sum22129
Variance188.489148
2020-08-25T01:56:21.415456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
74298.3%
 
71236.6%
 
68216.0%
 
73195.4%
 
66185.2%
 
72154.3%
 
67144.0%
 
69144.0%
 
65133.7%
 
64133.7%
 
70123.4%
 
77123.4%
 
61113.2%
 
60113.2%
 
62102.9%
 
7982.3%
 
6382.3%
 
7582.3%
 
7661.7%
 
7861.7%
 
5261.7%
 
4161.7%
 
5941.1%
 
3541.1%
 
5130.9%
 
Other values (31)5515.8%
 
ValueCountFrequency (%) 
510.3%
 
1310.3%
 
1410.3%
 
1510.3%
 
1710.3%
 
1810.3%
 
1910.3%
 
2010.3%
 
2210.3%
 
2820.6%
 
ValueCountFrequency (%) 
8210.3%
 
7982.3%
 
7861.7%
 
77123.4%
 
7661.7%
 
7582.3%
 
74298.3%
 
73195.4%
 
72154.3%
 
71236.6%
 

F3R
Real number (ℝ≥0)

Distinct count44
Unique (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.3352435530086
Minimum21.0
Maximum82.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:21.534260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile51
Q162
median66
Q370
95-th percentile76
Maximum82
Range61
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.344895973
Coefficient of variation (CV)0.1277242652
Kurtosis4.949741395
Mean65.33524355
Median Absolute Deviation (MAD)4
Skewness-1.568049316
Sum22802
Variance69.63728881
2020-08-25T01:56:21.644937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
67288.0%
 
69277.7%
 
65216.0%
 
63195.4%
 
64195.4%
 
62185.2%
 
68185.2%
 
66174.9%
 
70164.6%
 
72154.3%
 
71133.7%
 
60133.7%
 
76123.4%
 
59113.2%
 
74113.2%
 
56113.2%
 
61102.9%
 
73102.9%
 
7582.3%
 
7772.0%
 
5851.4%
 
7841.1%
 
5741.1%
 
8030.9%
 
5130.9%
 
Other values (19)267.4%
 
ValueCountFrequency (%) 
2110.3%
 
2410.3%
 
3210.3%
 
3410.3%
 
3610.3%
 
4010.3%
 
4110.3%
 
4320.6%
 
4410.3%
 
4520.6%
 
ValueCountFrequency (%) 
8210.3%
 
8030.9%
 
7910.3%
 
7841.1%
 
7772.0%
 
76123.4%
 
7582.3%
 
74113.2%
 
73102.9%
 
72154.3%
 

F7R
Real number (ℝ≥0)

Distinct count39
Unique (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.56160458452722
Minimum32.0
Maximum79.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:21.758490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile54
Q165
median69
Q372
95-th percentile76
Maximum79
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.620662607
Coefficient of variation (CV)0.112795761
Kurtosis4.020810726
Mean67.56160458
Median Absolute Deviation (MAD)4
Skewness-1.696264963
Sum23579
Variance58.07449857
2020-08-25T01:56:21.856853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
703510.0%
 
71349.7%
 
69246.9%
 
73246.9%
 
68236.6%
 
72216.0%
 
74195.4%
 
67164.6%
 
66154.3%
 
76144.0%
 
65133.7%
 
75133.7%
 
64113.2%
 
6192.6%
 
6382.3%
 
6082.3%
 
7972.0%
 
6272.0%
 
5851.4%
 
5651.4%
 
5951.4%
 
7841.1%
 
5430.9%
 
4730.9%
 
5530.9%
 
Other values (14)205.7%
 
ValueCountFrequency (%) 
3210.3%
 
3310.3%
 
3610.3%
 
4010.3%
 
4210.3%
 
4320.6%
 
4410.3%
 
4610.3%
 
4730.9%
 
4820.6%
 
ValueCountFrequency (%) 
7972.0%
 
7841.1%
 
7730.9%
 
76144.0%
 
75133.7%
 
74195.4%
 
73246.9%
 
72216.0%
 
71349.7%
 
703510.0%
 

F5R
Real number (ℝ≥0)

Distinct count37
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.438395415472776
Minimum12.0
Maximum77.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:21.968479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile46
Q161
median65
Q368
95-th percentile73
Maximum77
Range65
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.813509338
Coefficient of variation (CV)0.1389302059
Kurtosis8.671153724
Mean63.43839542
Median Absolute Deviation (MAD)4
Skewness-2.384610204
Sum22140
Variance77.67794684
2020-08-25T01:56:22.081440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
68308.6%
 
65298.3%
 
64288.0%
 
61288.0%
 
67267.4%
 
69236.6%
 
70185.2%
 
66185.2%
 
63164.6%
 
57133.7%
 
60113.2%
 
62102.9%
 
73102.9%
 
59102.9%
 
72102.9%
 
7192.6%
 
7761.7%
 
5461.7%
 
5351.4%
 
5651.4%
 
7451.4%
 
4451.4%
 
5851.4%
 
7530.9%
 
2630.9%
 
Other values (12)174.9%
 
ValueCountFrequency (%) 
1210.3%
 
1610.3%
 
2630.9%
 
2910.3%
 
3320.6%
 
3610.3%
 
3910.3%
 
4010.3%
 
4451.4%
 
4510.3%
 
ValueCountFrequency (%) 
7761.7%
 
7610.3%
 
7530.9%
 
7451.4%
 
73102.9%
 
72102.9%
 
7192.6%
 
70185.2%
 
69236.6%
 
68308.6%
 

F2S
Real number (ℝ≥0)

Distinct count40
Unique (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.48424068767908
Minimum34.0
Maximum84.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:22.201427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile54
Q166
median71
Q375
95-th percentile79
Maximum84
Range50
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.970340732
Coefficient of variation (CV)0.1147071718
Kurtosis2.744197088
Mean69.48424069
Median Absolute Deviation (MAD)4
Skewness-1.337186416
Sum24250
Variance63.52633139
2020-08-25T01:56:22.297022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
743610.3%
 
72318.9%
 
75226.3%
 
78216.0%
 
68216.0%
 
67205.7%
 
70205.7%
 
71185.2%
 
66154.3%
 
69133.7%
 
62133.7%
 
76133.7%
 
77123.4%
 
65113.2%
 
7392.6%
 
7982.3%
 
8061.7%
 
6161.7%
 
5151.4%
 
5851.4%
 
6051.4%
 
8441.1%
 
5441.1%
 
6341.1%
 
6430.9%
 
Other values (15)246.9%
 
ValueCountFrequency (%) 
3410.3%
 
3510.3%
 
4010.3%
 
4310.3%
 
4420.6%
 
4610.3%
 
4820.6%
 
5010.3%
 
5151.4%
 
5310.3%
 
ValueCountFrequency (%) 
8441.1%
 
8310.3%
 
8230.9%
 
8061.7%
 
7982.3%
 
78216.0%
 
77123.4%
 
76133.7%
 
75226.3%
 
743610.3%
 

F4R
Real number (ℝ≥0)

Distinct count37
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.56446991404012
Minimum21.0
Maximum85.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:22.401556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile57.4
Q168
median72
Q375
95-th percentile78
Maximum85
Range64
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.655251264
Coefficient of variation (CV)0.1084859175
Kurtosis12.2691418
Mean70.56446991
Median Absolute Deviation (MAD)4
Skewness-2.752500272
Sum24627
Variance58.60287192
2020-08-25T01:56:22.511483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
72339.5%
 
76329.2%
 
74318.9%
 
75298.3%
 
68236.6%
 
73216.0%
 
67205.7%
 
70205.7%
 
77185.2%
 
71174.9%
 
69144.0%
 
78133.7%
 
65123.4%
 
79113.2%
 
6682.3%
 
6372.0%
 
6472.0%
 
5641.1%
 
5430.9%
 
8030.9%
 
5830.9%
 
6120.6%
 
8520.6%
 
5220.6%
 
6220.6%
 
Other values (12)123.4%
 
ValueCountFrequency (%) 
2110.3%
 
2610.3%
 
3010.3%
 
3210.3%
 
3910.3%
 
4110.3%
 
5220.6%
 
5310.3%
 
5430.9%
 
5510.3%
 
ValueCountFrequency (%) 
8520.6%
 
8110.3%
 
8030.9%
 
79113.2%
 
78133.7%
 
77185.2%
 
76329.2%
 
75298.3%
 
74318.9%
 
73216.0%
 

F14S
Real number (ℝ≥0)

Distinct count51
Unique (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.808022922636106
Minimum17.0
Maximum86.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:22.627426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile41.4
Q157
median63
Q368
95-th percentile77
Maximum86
Range69
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.19918544
Coefficient of variation (CV)0.1650139409
Kurtosis2.399157532
Mean61.80802292
Median Absolute Deviation (MAD)5
Skewness-1.108303123
Sum21571
Variance104.0233837
2020-08-25T01:56:22.738045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
67277.7%
 
68226.3%
 
69216.0%
 
61185.2%
 
70164.6%
 
64154.3%
 
60154.3%
 
66154.3%
 
59144.0%
 
65133.7%
 
62133.7%
 
58123.4%
 
63123.4%
 
54123.4%
 
57113.2%
 
71102.9%
 
5382.3%
 
5672.0%
 
5072.0%
 
5161.7%
 
7861.7%
 
7361.7%
 
7451.4%
 
4141.1%
 
5541.1%
 
Other values (26)5014.3%
 
ValueCountFrequency (%) 
1710.3%
 
2310.3%
 
2510.3%
 
2610.3%
 
2710.3%
 
3120.6%
 
3630.9%
 
3810.3%
 
4030.9%
 
4141.1%
 
ValueCountFrequency (%) 
8610.3%
 
8310.3%
 
8220.6%
 
8020.6%
 
7941.1%
 
7861.7%
 
7730.9%
 
7520.6%
 
7451.4%
 
7361.7%
 

F16S
Real number (ℝ≥0)

Distinct count36
Unique (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.51575931232092
Minimum9.0
Maximum84.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:22.851970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile57.4
Q170
median74
Q376
95-th percentile79
Maximum84
Range75
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.666759743
Coefficient of variation (CV)0.1072037802
Kurtosis16.65584402
Mean71.51575931
Median Absolute Deviation (MAD)3
Skewness-3.200206138
Sum24959
Variance58.77920495
2020-08-25T01:56:22.962245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
754713.5%
 
744212.0%
 
733610.3%
 
77298.3%
 
76257.2%
 
72226.3%
 
71216.0%
 
79164.6%
 
70144.0%
 
78123.4%
 
68113.2%
 
6592.6%
 
6692.6%
 
6972.0%
 
6461.7%
 
6361.7%
 
5441.1%
 
6741.1%
 
5230.9%
 
8030.9%
 
6030.9%
 
5130.9%
 
8120.6%
 
5820.6%
 
6220.6%
 
Other values (11)113.2%
 
ValueCountFrequency (%) 
910.3%
 
3210.3%
 
3710.3%
 
3910.3%
 
4110.3%
 
4910.3%
 
5130.9%
 
5230.9%
 
5441.1%
 
5510.3%
 
ValueCountFrequency (%) 
8410.3%
 
8120.6%
 
8030.9%
 
79164.6%
 
78123.4%
 
77298.3%
 
76257.2%
 
754713.5%
 
744212.0%
 
733610.3%
 

F10S
Real number (ℝ≥0)

Distinct count39
Unique (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.83667621776505
Minimum17.0
Maximum81.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:23.081755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile50
Q161
median66
Q371
95-th percentile76.6
Maximum81
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.625625172
Coefficient of variation (CV)0.1330362023
Kurtosis5.109841943
Mean64.83667622
Median Absolute Deviation (MAD)5
Skewness-1.438739741
Sum22628
Variance74.40140961
2020-08-25T01:56:23.191551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
65246.9%
 
66216.0%
 
63216.0%
 
70216.0%
 
61205.7%
 
68185.2%
 
69174.9%
 
72174.9%
 
73164.6%
 
62164.6%
 
71144.0%
 
59133.7%
 
67123.4%
 
75113.2%
 
64102.9%
 
60102.9%
 
7492.6%
 
5882.3%
 
5461.7%
 
4551.4%
 
5751.4%
 
5651.4%
 
7751.4%
 
5541.1%
 
7841.1%
 
Other values (14)3710.6%
 
ValueCountFrequency (%) 
1720.6%
 
3410.3%
 
3710.3%
 
4430.9%
 
4551.4%
 
4720.6%
 
4920.6%
 
5030.9%
 
5141.1%
 
5241.1%
 
ValueCountFrequency (%) 
8130.9%
 
8020.6%
 
7941.1%
 
7841.1%
 
7751.4%
 
7630.9%
 
75113.2%
 
7492.6%
 
73164.6%
 
72174.9%
 

F9S
Real number (ℝ≥0)

Distinct count42
Unique (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.70200573065902
Minimum11.0
Maximum83.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:23.304563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile51.4
Q164
median68
Q373
95-th percentile76
Maximum83
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.392006964
Coefficient of variation (CV)0.1408054655
Kurtosis9.391117762
Mean66.70200573
Median Absolute Deviation (MAD)5
Skewness-2.49396603
Sum23279
Variance88.20979482
2020-08-25T01:56:23.420049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
683710.6%
 
69318.9%
 
70257.2%
 
73257.2%
 
67216.0%
 
75195.4%
 
74195.4%
 
71164.6%
 
62144.0%
 
63144.0%
 
66133.7%
 
76123.4%
 
77113.2%
 
65113.2%
 
64102.9%
 
7292.6%
 
5572.0%
 
6072.0%
 
5041.1%
 
5841.1%
 
5941.1%
 
5641.1%
 
5241.1%
 
5730.9%
 
5430.9%
 
Other values (17)226.3%
 
ValueCountFrequency (%) 
1110.3%
 
1310.3%
 
2110.3%
 
3120.6%
 
3210.3%
 
3310.3%
 
3610.3%
 
3720.6%
 
4210.3%
 
4310.3%
 
ValueCountFrequency (%) 
8310.3%
 
8210.3%
 
7910.3%
 
7830.9%
 
77113.2%
 
76123.4%
 
75195.4%
 
74195.4%
 
73257.2%
 
7292.6%
 

F7S
Real number (ℝ≥0)

Distinct count36
Unique (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.91117478510029
Minimum28.0
Maximum80.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:23.537601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile51.4
Q165
median70
Q373
95-th percentile77
Maximum80
Range52
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.724093969
Coefficient of variation (CV)0.1137381881
Kurtosis4.659142605
Mean67.91117479
Median Absolute Deviation (MAD)4
Skewness-1.693993371
Sum23701
Variance59.66162764
2020-08-25T01:56:23.640196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
71349.7%
 
74308.6%
 
65246.9%
 
75246.9%
 
70226.3%
 
72195.4%
 
73195.4%
 
69185.2%
 
66185.2%
 
64154.3%
 
67154.3%
 
68144.0%
 
77144.0%
 
59123.4%
 
62102.9%
 
7682.3%
 
5872.0%
 
5061.7%
 
6161.7%
 
5741.1%
 
8041.1%
 
4841.1%
 
6341.1%
 
7830.9%
 
5320.6%
 
Other values (11)133.7%
 
ValueCountFrequency (%) 
2810.3%
 
3120.6%
 
4310.3%
 
4610.3%
 
4710.3%
 
4841.1%
 
4910.3%
 
5061.7%
 
5110.3%
 
5210.3%
 
ValueCountFrequency (%) 
8041.1%
 
7920.6%
 
7830.9%
 
77144.0%
 
7682.3%
 
75246.9%
 
74308.6%
 
73195.4%
 
72195.4%
 
71349.7%
 

F21S
Real number (ℝ≥0)

Distinct count61
Unique (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.587392550143264
Minimum8.0
Maximum83.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:23.754693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile30.4
Q158
median67
Q371
95-th percentile76
Maximum83
Range75
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.53855205
Coefficient of variation (CV)0.2360637697
Kurtosis2.126454564
Mean61.58739255
Median Absolute Deviation (MAD)6
Skewness-1.532178565
Sum21494
Variance211.3694958
2020-08-25T01:56:23.862128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
68277.7%
 
67246.9%
 
70226.3%
 
69164.6%
 
73154.3%
 
71144.0%
 
65144.0%
 
74133.7%
 
63133.7%
 
75133.7%
 
64133.7%
 
61113.2%
 
5692.6%
 
6692.6%
 
7292.6%
 
6292.6%
 
7672.0%
 
5872.0%
 
6072.0%
 
4261.7%
 
4741.1%
 
5541.1%
 
7841.1%
 
5741.1%
 
4341.1%
 
Other values (36)7120.3%
 
ValueCountFrequency (%) 
810.3%
 
920.6%
 
1020.6%
 
1810.3%
 
1910.3%
 
2020.6%
 
2110.3%
 
2510.3%
 
2720.6%
 
2810.3%
 
ValueCountFrequency (%) 
8320.6%
 
8220.6%
 
8020.6%
 
7941.1%
 
7841.1%
 
7730.9%
 
7672.0%
 
75133.7%
 
74133.7%
 
73154.3%
 

F8S
Real number (ℝ≥0)

Distinct count47
Unique (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.40401146131805
Minimum8.0
Maximum77.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:23.995609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile36.4
Q157
median62
Q368
95-th percentile72
Maximum77
Range69
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.00339999
Coefficient of variation (CV)0.1821633982
Kurtosis4.441250384
Mean60.40401146
Median Absolute Deviation (MAD)5
Skewness-1.874549668
Sum21081
Variance121.0748114
2020-08-25T01:56:24.108584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
62257.2%
 
57205.7%
 
65195.4%
 
68195.4%
 
61195.4%
 
58195.4%
 
64185.2%
 
67174.9%
 
66174.9%
 
71174.9%
 
70154.3%
 
69144.0%
 
59144.0%
 
60123.4%
 
7292.6%
 
6392.6%
 
5282.3%
 
7372.0%
 
5672.0%
 
5472.0%
 
5551.4%
 
5341.1%
 
3841.1%
 
7441.1%
 
4141.1%
 
Other values (22)3610.3%
 
ValueCountFrequency (%) 
810.3%
 
1110.3%
 
1930.9%
 
2110.3%
 
2520.6%
 
3010.3%
 
3220.6%
 
3320.6%
 
3410.3%
 
3510.3%
 
ValueCountFrequency (%) 
7710.3%
 
7610.3%
 
7520.6%
 
7441.1%
 
7372.0%
 
7292.6%
 
71174.9%
 
70154.3%
 
69144.0%
 
68195.4%
 

F5S
Real number (ℝ≥0)

Distinct count44
Unique (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.53008595988538
Minimum22.0
Maximum78.0
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:56:24.410178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile48
Q158
median64
Q368
95-th percentile74
Maximum78
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.096376394
Coefficient of variation (CV)0.1454719957
Kurtosis3.891268423
Mean62.53008596
Median Absolute Deviation (MAD)5
Skewness-1.588897939
Sum21823
Variance82.7440635
2020-08-25T01:56:24.518312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
67288.0%
 
66246.9%
 
68236.6%
 
62205.7%
 
63195.4%
 
69185.2%
 
64185.2%
 
70174.9%
 
56164.6%
 
71164.6%
 
65144.0%
 
59133.7%
 
61133.7%
 
57123.4%
 
7592.6%
 
5892.6%
 
5282.3%
 
5572.0%
 
5461.7%
 
7261.7%
 
7461.7%
 
5351.4%
 
4851.4%
 
3941.1%
 
6041.1%
 
Other values (19)298.3%
 
ValueCountFrequency (%) 
2210.3%
 
2410.3%
 
2610.3%
 
2810.3%
 
2910.3%
 
3020.6%
 
3210.3%
 
3710.3%
 
3941.1%
 
4110.3%
 
ValueCountFrequency (%) 
7820.6%
 
7741.1%
 
7610.3%
 
7592.6%
 
7461.7%
 
7330.9%
 
7261.7%
 
71164.6%
 
70174.9%
 
69185.2%
 

target
Boolean

Distinct count2
Unique (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
254
0
95
ValueCountFrequency (%) 
125472.8%
 
09527.2%
 

Interactions

2020-08-25T01:55:29.773841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.091881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.227766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.362985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.492025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.615936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.756045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:30.890179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.016318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.150609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.270789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.399825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.527805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.661164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.788860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:31.924219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.051330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.177795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.306613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.437824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.577335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.714598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.860715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:32.986620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.117639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.255553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.407621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.540762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.679182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.802940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:33.940963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.083805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.408902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.541214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.674212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.803213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:34.940266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.077861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.210745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.353711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.493467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.628570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.755681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:35.887814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.025639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.158610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.287292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.424079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.552490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.688455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.830248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:36.968777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:37.105938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:37.244796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:55:37.371551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:56:05.458083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:05.592486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:05.716332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:05.846185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:05.984661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.112024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.245335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.385863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.529922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.653975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.783093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:06.922232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.054640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.182346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.316860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.444357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.576505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.707085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.841569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:07.972714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.118543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.250283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.584993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.723903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.861541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:08.990634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.120975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.249817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.366409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.487763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.619975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.744454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.865896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:09.993513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.108616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.229750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.350311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.478104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.603517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.728364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.847034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:10.973310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.101063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.224754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.358082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.499068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.634919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.758366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:11.884264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.021791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.157651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.286998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.424544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.734941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:12.872511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.012824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.150229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.284863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.423936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.553881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.686730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.838414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:13.983437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.118511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.264408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.402581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.531492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.661367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.801193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:14.936597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.068714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.203862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.326509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.468454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.606545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.741111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:15.874346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.009772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.140027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.278276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.416219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.547893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.676285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:16.805761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.126843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.246632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.371157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.503351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.632993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.761454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:17.893110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.020747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.159610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.288409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.417434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.547672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.680208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.803751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:18.944622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:19.077921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:56:24.664103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:56:24.959598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:56:25.268044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:56:25.575111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:56:19.356856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:56:19.812569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

F19SF13RF13SF19RF18RF21RF3RF7RF5RF2SF4RF14SF16SF10SF9SF7SF21SF8SF5Starget
056.063.064.062.066.074.073.070.058.067.072.054.074.057.055.077.074.065.052.01
160.074.069.063.065.067.078.072.069.067.074.070.070.065.075.074.071.071.063.01
265.053.037.066.073.061.067.068.070.064.079.068.068.074.071.065.041.061.069.01
365.064.060.066.061.068.061.071.059.078.067.054.076.059.055.075.068.058.059.01
466.041.037.070.067.060.061.071.072.066.069.040.073.069.075.071.055.059.068.01
567.065.063.069.063.072.069.073.057.075.073.055.074.062.055.069.070.058.061.01
672.065.057.072.069.070.067.071.069.075.072.065.073.061.077.080.073.064.070.01
760.066.065.066.066.060.064.074.074.062.068.059.065.066.070.071.067.074.068.01
863.053.047.074.067.068.065.068.064.068.071.036.073.066.062.069.070.057.056.01
969.052.036.073.064.060.066.062.065.079.076.049.073.063.050.057.056.036.064.01

Last rows

F19SF13RF13SF19RF18RF21RF3RF7RF5RF2SF4RF14SF16SF10SF9SF7SF21SF8SF5Starget
33948.063.063.057.062.079.076.062.067.067.076.064.068.065.068.065.074.067.064.00
34067.066.067.064.067.066.065.072.064.078.072.061.078.075.062.068.066.062.069.00
34165.075.068.063.063.074.065.073.057.070.070.058.076.062.063.074.067.059.057.00
34264.071.070.064.066.066.068.070.066.074.072.082.074.073.072.069.063.066.069.00
34377.067.064.074.066.079.073.073.066.080.076.066.075.072.069.075.075.065.056.00
34470.061.061.068.066.064.067.071.063.072.071.058.075.071.064.074.067.061.067.00
34553.076.079.056.062.064.066.067.056.071.068.070.069.054.064.071.063.071.062.00
34660.066.071.065.061.074.077.065.065.075.074.061.076.060.069.067.080.070.062.00
34773.049.048.071.064.068.047.069.067.072.076.069.079.074.068.067.056.064.066.00
34864.067.063.065.069.071.069.068.063.066.075.057.075.068.069.070.068.068.062.00

Duplicate rows

Most frequent

F19SF13RF13SF19RF18RF21RF3RF7RF5RF2SF4RF14SF16SF10SF9SF7SF21SF8SF5Stargetcount
756.063.064.062.066.074.073.070.058.067.072.054.074.057.055.077.074.065.052.013
023.023.046.040.031.057.075.054.026.058.070.031.072.017.037.059.067.040.030.012
123.054.060.033.072.036.053.043.046.051.068.066.052.045.077.048.046.060.055.012
248.063.063.057.062.079.076.062.067.067.076.064.068.065.068.065.074.067.064.002
349.066.076.047.062.074.068.079.077.073.075.067.075.079.068.075.070.071.070.012
451.063.060.050.055.069.076.078.067.080.078.060.073.060.067.077.065.064.064.002
553.076.079.056.062.064.066.067.056.071.068.070.069.054.064.071.063.071.062.002
656.058.030.065.060.073.076.067.068.066.074.041.073.051.059.058.036.032.052.012
856.069.071.061.067.071.070.070.059.075.074.063.058.063.069.066.073.072.060.012
957.056.056.053.053.077.059.071.033.071.054.061.076.044.060.075.082.057.039.012